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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Current status and future advances for wind speed and power forecasting
Jaesung Jung, Robert Broadwater
Renewable and Sustainable Energy Reviews (2014) Vol. 31, pp. 762-777
Closed Access | Times Cited: 629

Showing 1-25 of 629 citing articles:

A review of wind speed and wind power forecasting with deep neural networks
Yun Wang, Runmin Zou, Fang Liu, et al.
Applied Energy (2021) Vol. 304, pp. 117766-117766
Closed Access | Times Cited: 545
Recent advances in electricity price forecasting: A review of probabilistic forecasting
Jakub Nowotarski, Rafał Weron
Renewable and Sustainable Energy Reviews (2017) Vol. 81, pp. 1548-1568
Open Access | Times Cited: 449
Spatio-Temporal Graph Deep Neural Network for Short-Term Wind Speed Forecasting
Mahdi Khodayar, Jianhui Wang
IEEE Transactions on Sustainable Energy (2018) Vol. 10, Iss. 2, pp. 670-681
Closed Access | Times Cited: 376
A review on renewable energy and electricity requirement forecasting models for smart grid and buildings
Tanveer Ahmad, Hongcai Zhang, Biao Yan
Sustainable Cities and Society (2020) Vol. 55, pp. 102052-102052
Closed Access | Times Cited: 368
Wind power forecasting based on daily wind speed data using machine learning algorithms
Halil Demolli, Ahmet Şakir Dokuz, Alper Ecemiş, et al.
Energy Conversion and Management (2019) Vol. 198, pp. 111823-111823
Closed Access | Times Cited: 352
Wind speed forecasting for wind farms: A method based on support vector regression
Guillermo Santamaría-Bonfil, Alberto Reyes, Carlos Gershenson
Renewable Energy (2015) Vol. 85, pp. 790-809
Closed Access | Times Cited: 342
Wind power prediction using deep neural network based meta regression and transfer learning
Aqsa Saeed Qureshi, Asifullah Khan, Aneela Zameer, et al.
Applied Soft Computing (2017) Vol. 58, pp. 742-755
Closed Access | Times Cited: 342
A review and discussion of decomposition-based hybrid models for wind energy forecasting applications
Zheng Qian, Yan Pei, Hamidreza Zareipour, et al.
Applied Energy (2018) Vol. 235, pp. 939-953
Closed Access | Times Cited: 332
Smart energy systems for sustainable smart cities: Current developments, trends and future directions
Edward O’Dwyer, Indranil Pan, Salvador Acha, et al.
Applied Energy (2019) Vol. 237, pp. 581-597
Closed Access | Times Cited: 329
Hour-ahead wind power forecast based on random forests
Ali Lahouar, Jaleleddine Ben Hadj Slama
Renewable Energy (2017) Vol. 109, pp. 529-541
Closed Access | Times Cited: 326
Short-term forecasting and uncertainty analysis of wind turbine power based on long short-term memory network and Gaussian mixture model
Jinhua Zhang, Jie Yan, David Infield, et al.
Applied Energy (2019) Vol. 241, pp. 229-244
Open Access | Times Cited: 320
Rough Deep Neural Architecture for Short-Term Wind Speed Forecasting
Mahdi Khodayar, Okyay Kaynak, Mohammad E. Khodayar
IEEE Transactions on Industrial Informatics (2017) Vol. 13, Iss. 6, pp. 2770-2779
Closed Access | Times Cited: 318
Data processing strategies in wind energy forecasting models and applications: A comprehensive review
Hui Liu, Chao Chen
Applied Energy (2019) Vol. 249, pp. 392-408
Closed Access | Times Cited: 295
Machine-learning methods for integrated renewable power generation: A comparative study of artificial neural networks, support vector regression, and Gaussian Process Regression
Mahdi Sharifzadeh, Alexandra Sikinioti-Lock, Nilay Shah
Renewable and Sustainable Energy Reviews (2019) Vol. 108, pp. 513-538
Closed Access | Times Cited: 294
A Critical Review of Wind Power Forecasting Methods—Past, Present and Future
Shahram Hanifi, Xiaolei Liu, Zi Lin, et al.
Energies (2020) Vol. 13, Iss. 15, pp. 3764-3764
Open Access | Times Cited: 289
Overview of wind power intermittency: Impacts, measurements, and mitigation solutions
Guorui Ren, Jinfu Liu, Jie Wan, et al.
Applied Energy (2017) Vol. 204, pp. 47-65
Closed Access | Times Cited: 285
A survey of data fusion in smart city applications
Billy Pik Lik Lau, Sumudu Hasala Marakkalage, Yuren Zhou, et al.
Information Fusion (2019) Vol. 52, pp. 357-374
Open Access | Times Cited: 280
Wind power forecasting – A data-driven method along with gated recurrent neural network
Adam Kisvari, Zi Lin, Xiaolei Liu
Renewable Energy (2020) Vol. 163, pp. 1895-1909
Open Access | Times Cited: 277
A novel hybrid system based on a new proposed algorithm—Multi-Objective Whale Optimization Algorithm for wind speed forecasting
Jianzhou Wang, Pei Du, Tong Niu, et al.
Applied Energy (2017) Vol. 208, pp. 344-360
Closed Access | Times Cited: 272
Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods
Wai Lip Theo, Jeng Shiun Lim, Wai Shin Ho, et al.
Renewable and Sustainable Energy Reviews (2016) Vol. 67, pp. 531-573
Closed Access | Times Cited: 267
Deterministic wind energy forecasting: A review of intelligent predictors and auxiliary methods
Hui Liu, Chao Chen, Xinwei Lv, et al.
Energy Conversion and Management (2019) Vol. 195, pp. 328-345
Closed Access | Times Cited: 250
Improving Renewable Energy Forecasting With a Grid of Numerical Weather Predictions
José Andrade, Ricardo J. Bessa
IEEE Transactions on Sustainable Energy (2017) Vol. 8, Iss. 4, pp. 1571-1580
Open Access | Times Cited: 247
Short-term wind power prediction based on LSSVM–GSA model
Xiaohui Yuan, Chen Chen, Yanbin Yuan, et al.
Energy Conversion and Management (2015) Vol. 101, pp. 393-401
Closed Access | Times Cited: 245
Current status of wind energy forecasting and a hybrid method for hourly predictions
İnci Okumuş, Ali Dinler
Energy Conversion and Management (2016) Vol. 123, pp. 362-371
Closed Access | Times Cited: 244
Hybrid wind/photovoltaic energy system developments: Critical review and findings
Aeidapu Mahesh, K. S. Sandhu
Renewable and Sustainable Energy Reviews (2015) Vol. 52, pp. 1135-1147
Closed Access | Times Cited: 242
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